A Taufiq Asyhari
Biographic Data
| ID | 6941887 |
|---|---|
| NAME | A Taufiq Asyhari |
| GIVEN NAMES | A Taufiq |
| FAMILY NAME | Asyhari |
| SIGNATURE | ASYHARI A T |
| AFFILIATIONS | Surya University |
| ORCID | 0000-0002-3023-8285 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Optimizing structure from motion photogrammetry using multi-method denoising for digital preservation of Ketanen Inscription in Majapahit Information Center, Indonesia
A Benchmark Study of Classical and U-Net ResNet34 Methods for Binarization of Balinese Palm Leaf Manuscripts
Ancient documents that have undergone physical and visual degradation pose significant challenges in the digital recognition and preservation of information. This research aims to evaluate the effectiveness of ten classic binarization methods, including Otsu, Niblack, Sauvola, and ISODATA, as well as other adaptive methods, in comparison to the U-Net ResNet34 model trained on 256 × 256 image blocks for extracting textual content and separating it…
Scalable machine learning-based intrusion detection system for IoT-enabled smart cities
Data-driven dynamic clustering framework for mitigating the adverse economic impact of Covid-19 lockdown practices
No prominent works on this page.
Scalable machine learning-based intrusion detection system for IoT-enabled smart cities
Data-driven dynamic clustering framework for mitigating the adverse economic impact of Covid-19 lockdown practices
A Benchmark Study of Classical and U-Net ResNet34 Methods for Binarization of Balinese Palm Leaf Manuscripts
Ancient documents that have undergone physical and visual degradation pose significant challenges in the digital recognition and preservation of information. This research aims to evaluate the effectiveness of ten classic binarization methods, including Otsu, Niblack, Sauvola, and ISODATA, as well as other adaptive methods, in comparison to the U-Net ResNet34 model trained on 256 × 256 image blocks for extracting textual content and separating it…
Optimizing structure from motion photogrammetry using multi-method denoising for digital preservation of Ketanen Inscription in Majapahit Information Center, Indonesia
Artificial Intelligence (3 works) · Computer Science (3 works) · Geography (2 works) · 3D Surveying and Cultural Heritage (1 work) · Anomaly Detection Techniques and Applications (1 work) · Artificial neural network (1 work) · Benchmark (surveying (1 work) · Building materials and conservation (1 work) · Business (1 work) · Cartography (1 work)